A Comparative Technoeconomic Analysis of Algal Thermochemical Conversion Technologies for Diluent Production
Why this work is in the frame
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Bibliographic record
Abstract
Microalgae offer desirable attributes as a renewable feedstock. Herein, a technoeconomic assessment of using microalgae to produce chemicals (diluent) for bitumen transport is conducted. Two thermochemical technologies, hydrothermal liquefaction (HTL) and fast pyrolysis, are analyzed for a plant of 2000 dry t day −1 . A detailed process model is developed for the two thermochemical conversion technologies and used to perform a data‐intensive technoeconomic assessment to estimate diluent cost using biomass. The product values of diluents from HTL and pyrolysis are 1.60 ± 0.09 and 1.69 ± 0.11 $ L −1 , respectively. The sensitivity analysis indicates that product yield has the highest impact on product value, followed by the biomass cost. The effect of using industrial carbon dioxide in a situation where the producer pays to the algae conversion plant to avoid paying a carbon levy is assessed. For HTL and fast pyrolysis, diluent cost falls to 1.06 and 1.16 $ L −1 , respectively, when carbon tax increases to 40 $ t −1 . Herein, insights into the technoeconomic feasibility of producing chemicals from algal‐based thermochemical technologies are offered.
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it